1,721,010 research outputs found
Going Beyond Counting First Authors in Author Co-citation Analysis
Full text linkThe present study examines one of the fundamental aspects of author co-citation analysis (ACA) - the way co-citation
counts are defined. Co-citation counting provides the data on which all subsequent statistical analyses and mappings
are based, and we compare ACA results based on two different types of co-citation counting - the traditional type that
only counts the first one among a cited work's authors on the one hand and a non-traditional type that takes into
account the first 5 authors of a cited work on the other hand. Results indicate that the picture produced through this non-traditional author co-citation counting contains more coherent author groups and is therefore considerably clearer. However, this picture represents fewer specialties in the research field being studied than that produced through the traditional first-author co-citation counting when the same number of top-ranked authors is selected and analyzed. Reasons for these effects are discussed
A new fast procedure for resttingsingle shot high precision hardening inductor by means of a 'in process' control
No full textAn Adaptive Neural Network model for thermal characterization of building components
Full text linkBuilding materials are usually characterized in stationary or almost-stationary conditions and mono dimensional heat flow regime. The existing standards (such as ISO 9869 or EN ISO 6946, EN 12664, EN 12667, ISO 8302 etc), require experiments carried out in steady-state conditions, with a very fine control of the measuring parameters with the aim to apply a simple and reproducible procedure for the determination of thermal properties. However, the thermodynamic conditions that lead to a steady-state operating mode and mono dimensional flow are very difficult to obtain (in real conditions) or very expensive and time consuming (in climate chambers). In this paper the authors present the development of a method for thermal characterization of building components, inferring the steady-state conditions, when only measures in transient conditions are available. The method, based on an adaptive linear neural network (ALNN) model also could be have the potentialities to determine the thermal diffusivity from a significant transient behavior ad hoc imposed. The study targets multilayered walls homogeneous and the results are compared with the experimental data measured by a climate chamber that operate according to the standard EN 12667 (c) 2017The Authors. Published by Elsevier Ltd
Variations on the Author
Full text link“Variations on the Author” discusses two of Eduardo Coutinho’s recent films (Um Dia na Vida, from 2010, and Últimas Conversas, posthumously released in 2015) and their contribution to the general question of documentary authorship. The director’s filmography is characterized by a consistent yet self-effacing form of authorial self-inscription: Coutinho often features as an interviewer that rather than express opinions propels discourses; an interviewer that is good at listening. This mode of self-inscription characterizes him as an author who is not expressive but who is nonetheless markedly present on the screen. In Um Dia na Vida, however, Coutinho is completely absent form the image, while Últimas Conversas, on the contrary, includes a confessional prologue that moves the director from the margins to the center of his films. This article examines the ways in which these works stand out in the filmography of a director who offers new insights into the notion of cinematic authorship
Appropriate Similarity Measures for Author Cocitation Analysis
Full text linkWe provide a number of new insights into the methodological discussion about author cocitation analysis. We first argue that the use of the Pearson correlation for measuring the similarity between authors’ cocitation profiles is not very satisfactory. We then discuss what kind of similarity measures may be used as an alternative to the Pearson correlation. We consider three similarity measures in particular. One is the well-known cosine. The other two similarity measures have not been used before in the bibliometric literature. Finally, we show by means of an example that our findings have a high practical relevance.information science;Pearson correlation;cosine;similarity measure;author cocitation analysis
Dispelling the Myths Behind First-author Citation Counts
Full text linkWe conducted a full-scale evaluative citation analysis study of scholars in the XML research field to explore just how different from each other author rankings resulting from different citation counting methods actually are, and to demonstrate the capability of emerging data and tools on the Web in supporting more realistic citation counting methods. Our results contest some common arguments for the continued
use of first-author citation counts in the evaluation of scholars, such as high correlations between author rankings by first-author citation counts and other citation
counting methods, and high costs of using more realistic citation counting methods that are not well-supported by the ISI databases. It is argued that increasingly available digital full text research papers make it possible for citation analysis studies to go beyond what the ISI databases have directly supported and to employ more
sophisticated methods
koamabayili/VECTRON-author-checklist: VECTRON author checklist
No full textWe have done our best to complete the author checklist relating to the use of animals in the hut study. Note that the objective for the hut study was to evaluate the IRS treatment applications for residual efficacy against Anopheles mosquitoes, including the local An. coluzzii mosquito population. Cows were only used to attract mosquitoes into the huts and no tests were carried out directly on the cows. The author checklist is intended for use with studies where experiments are carried out on animals, which is why we have had such difficulty in completing this for the hut study, as many of the questions do not relate to how the cows were used
Autologous Versus Allogeneic Cell-Based Vaccines?
No full textDevitalized tumor cells either autologous or allogeneic have been used as anti-cancer vaccines with the purpose of facilitating the induction of an immune response able to destroy growing tumor cells since the identification of tumor antigens was deemed not to be necessary, particularly in the autologous system. Such vaccines were tested first in animal models and then in the clinics as unmodified tumor cells or after insertion of genes coding for factors known to increase the immune response against tumors. These vaccines were usually given by subcutaneous injections along with different immunological adjuvants. Such immunization approaches were found to be effective in mice when carried out in a tumor preventive setting but significantly less in the therapeutic context, that is, in the presence of an established tumor. By analyzing several clinical trials of vaccination using either autologous or allogeneic unmodified and gene-modified tumor cells published in the last 10 to 15 years, we conclude for a lack of sufficient evidence for efficacy of this strategy in inducing both a strong immune response and a therapeutic response. A potential variant of this strategy is the direct intratumoral injection of immunostimulatory genes delivered by vectors in vivo. But even this approach failed to provide a statistically significant clinical benefit for the cancer patients.We also point out the inherent drawbacks of the tumor cell-based vaccine strategy that include (a) a limited frequency by which human tumor lines can be obtained from clinical samples, (b) the low number of available cells for vaccination, (c) the release of immune-suppressive factors by tumor cells, and (d) the cost and time necessary for standardization and collecting/expanding a number of cells according to the approved regulatory requirements. Thus, taking into consideration the new developments in cancer vaccines, we believe that tumor cell-based vaccines should be dismissed as anti-cancer vaccines unless a clear benefit could be demonstrated by the few ongoing trials of combination with new immunomodulating reagents (eg, anti-CTLA4, PD-1, chemotherapy)
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